Smart Store Suite

Smart Store Suite joins three checks for Naver Smart Store sellers into one flow. Step 1, store check, collects products from a store URL (Smart Store, Brand Store, Shopping Window, Naver+) or from product, sales and margin CSVs and combines search demand with margin or reviews and sales to show which products to grow and which to drop. Step 2 rewrites a product title in the words searchers actually use, and step 3 scores how well a detail page covers the buying criteria searchers look for and suggests fixes. Smart Store sellers, brand managers and commerce MDs use it. Data comes from the ListeningMind Data API (keyword_info, intent_finder, cluster_finder, path_finder), maistro-lmpipe and LLMs (MiniMax, Claude); the market is Korea (Naver Shopping).

How a result is made

collect_store_products: Collect the store's products from its URL (replaces the current product set). Own-store CSVs are uploaded in the web page /portfolio/upload.
preview_dormant_products: For a large catalog, preview dormant products and exclude them with exclude_dormant_products to save credits.
start_store_check: Start the store check.
get_store_check: Poll until run.status is completed, then read classes and priorities.
get_store_check_product: Read the detail of the chosen product; fix a wrong keyword with rescore_store_check_product.
download_store_check_csv: Download the result as CSV.
start_title_analysis: Step 2: start a title rewrite with the chosen product's name (plus category path and tags).
get_title_analysis: Poll until status is done and read the A/B titles and scores.
select_title_identity: Optionally recompose the title around another identity candidate.
start_detail_page_analysis: Step 3: start the detail page intent check with the product URL or typed page data.
get_detail_page_analysis: Poll until status is done and read the missed criteria and recommendations.
rescore_detail_page: After editing the detail page, re-check it to see what changed.
add_watch: Optionally register the store for periodic tracking so sales momentum appears from the next collection (each later run spends credits).
list_store_checks: Find earlier store checks; title and detail page history are in list_title_analyses and list_detail_page_analyses.

Agents: llms.txt · agents.md · MCP · OpenAPI. Every page also answers Accept: text/markdown.

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